Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

4.4K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
4.4K
Unusual Results01:16

Unusual Results

3.0K
Unusual results are those that have a very low chance of occurring. Unusual results can be identified using probabilities and the range rule of thumb. In problems involving probability, unusual results can be observed in 2 instances – an unusually high number of successes or an unusually low number of successes.
According to the range rule of thumb, any value above or below two standard deviations, 2σ  from the mean, μ  is considered unusual.
Maximum unusual value =...
3.0K
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

4.0K
Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
4.0K
Mass Analyzers: Overview01:13

Mass Analyzers: Overview

2.1K
The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
2.1K
Maximum Size of Aggregate01:12

Maximum Size of Aggregate

1.2K
The maximum size of aggregate is defined as the aperture of the sieve retaining 15 percent or more of the particles present in the aggregate sample. The aggregate's maximum size impacts the concrete's water requirement, workability, and strength. Larger aggregates reduce the surface area needing cement paste coverage, which can lower water needs, thereby allowing a decrease in the water-to-cement ratio when the desired workability and richness of the mix are to be maintained, which can...
1.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Increasing both strength and toughness in ceramic-matrix composites via bioinspired porous interphases.

Nature communications·2026
Same author

Pressure-Independent Acoustic-Vortex Communication With Enhanced-Capacity and Cryptographic Information by Free-Flooded Metasurfaces.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Architected Interpenetrating Phase Microlattice With Superior Vibration Attenuation and Energy Absorption Performance.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Size-Effect Stiffening and Densification Strain Regulation Shape Micro Metamaterials for Ultra-High, Cycle-Stable Energy Absorption.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Quantifying the electrochemical kinetics of battery positive-electrode crystal facets.

Nature communications·2025
Same author

Deep learning dosiomics for the pretreatment prediction of radiation dermatitis in nasopharyngeal carcinoma patients treated with radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2025
Same journal

Demonstration of a quantum C-NOT gate in a time-multiplexed fully reconfigurable photonic processor.

Nature communications·2026
Same journal

Nonlinear quantum light source with van der Waals ferroelectric NbOX<sub>2</sub> (X = Br, I).

Nature communications·2026
Same journal

Antagonistic histone H2A variants and autonomous heterochromatin formation shape epigenomic patterns in Arabidopsis.

Nature communications·2026
Same journal

The long tail of nitrate pollution in groundwater challenges governance of global water quality.

Nature communications·2026
Same journal

Select microbial metabolites promote tau aggregation in a murine tauopathy model.

Nature communications·2026
Same journal

Warming climate has lengthened global intense tropical cyclone seasons.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: May 6, 2026

Fabricating Metamaterials Using the Fiber Drawing Method
11:57

Fabricating Metamaterials Using the Fiber Drawing Method

Published on: October 18, 2012

14.3K

Mining extreme properties from a large metamaterial database.

Jiaxin Chen1, Zhuoyi Wei1, Xiaoyujie Xiao1

  • 1State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha, 410082, PR China.

Nature Communications
|November 1, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed a framework to generate over 1.8 million truss metamaterial designs, uncovering novel architectures with extreme mechanical properties for data-driven engineering applications.

More Related Videos

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
13:44

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Published on: December 27, 2012

15.8K
Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing
09:39

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Published on: June 28, 2024

1.5K

Related Experiment Videos

Last Updated: May 6, 2026

Fabricating Metamaterials Using the Fiber Drawing Method
11:57

Fabricating Metamaterials Using the Fiber Drawing Method

Published on: October 18, 2012

14.3K
Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
13:44

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Published on: December 27, 2012

15.8K
Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing
09:39

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Published on: June 28, 2024

1.5K

Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Computational Materials Design

Background:

  • Truss metamaterials offer tunable properties via node-strut architecture.
  • Current limitations in architecture and property range hinder advanced applications.

Purpose of the Study:

  • To create a comprehensive database of truss metamaterial architectures and properties.
  • To identify novel architectures with extreme mechanical characteristics.

Main Methods:

  • Systematic encoding of architectural topologies.
  • Generation of a large-scale database (1.8M+ designs).
  • Analysis of structure-property relationships and introduction of mechanical isomerism.

Main Results:

  • Discovery of numerous architectures with extreme properties (e.g., high Young's modulus, wide Poisson's ratio range, isotropic bi-mode).
  • Identification of mechanical isomerism linking architecture to extreme properties.
  • Establishment of a foundation for data-driven design.

Conclusions:

  • The framework enables systematic exploration of truss metamaterial design space.
  • Uncovered extreme properties and mechanical isomerism offer new avenues for material innovation.
  • Facilitates data-driven design, optimization, and advanced manufacturing of metamaterials.